The use of occupancy space electrical power demand in building cooling load prediction

2012 ◽  
Vol 55 ◽  
pp. 151-163 ◽  
Author(s):  
M.C. Leung ◽  
Norman C.F. Tse ◽  
L.L. Lai ◽  
T.T. Chow
Keyword(s):  
Electrical Power ◽  
Cooling Load ◽  
Power Demand ◽  
Load Prediction ◽  
Building Cooling

Analysis of photovoltaic arrays efficiency for reduction of building cooling load in hot climates

2018 ◽  
Vol 39 (6) ◽  
pp. 733-748 ◽  
Author(s):  
Muhammad Zubair ◽  
Ahmed Bilal Awan ◽  
Praveen RP
Keyword(s):  
Energy Savings ◽  
Electrical Power ◽  
Research Work ◽  
Electrical Energy ◽  
Cooling Load ◽  
Shading Effect ◽  
Photovoltaic Arrays ◽  
Electrical Energy Production ◽  
Building Cooling ◽  
Cooling Loads

This research work presents shading of building in hot and dry climate areas using rooftop photovoltaic arrays. Electrical power generation using photovoltaic arrays helps in reducing dependency on the utility grid. Areas with high intensities of solar radiation for a longer duration of time create high daily temperature. The Kingdom of Saudi Arabia (KSA) falls in high temperature and very low humidity climate zone. KSA has increased electricity tariff rates by 260% since 1 January 2018, has planned goals of generation of 9.5 gigawatts of renewable energy by 2030, and has ideas of constructing a self-sustainable city by the Red Sea. Energy analysis performed in this research is to calculate benefits of placing photovoltaic arrays on a rooftop of Buildings. These benefits include the electrical energy production and reduction of building cooling load by shading effect on a rooftop. By placing photovoltaic arrays on rooftop, up to 23% energy saving of cooling load can be achieved. The net annual output of photovoltaic generation per panel is discussed by adding energy generation and saving in cooling load of the building. The distance between the photovoltaic arrays is optimized for maximum benefits of electrical energy and saving in cooling loads. Practical application: Photovoltaic arrays on rooftops for shading effect have practical benefits of energy savings in hot environment areas where high solar irradiance heat up the buildings. Photovoltaic arrays provide shading and energy generations which is a step towards zero energy buildings.

Building Cooling Load Forecasting Based on Support Vector Machines with Simulated Annealing

2010 ◽  
Vol 108-111 ◽  
pp. 1003-1008
Author(s):  
Xue Mei Li ◽  
Li Xing Ding ◽  
Jin Hu Lǔ ◽  
lan Lan Li
Keyword(s):  
Simulated Annealing ◽  
Support Vector Machines ◽  
Support Vector ◽  
Cooling Load ◽  
Load Prediction ◽  
Promising Alternative ◽  
Vector Machines ◽  
Accurate Forecast ◽  
Electricity Load ◽  
Building Cooling

Accurate forecasting of building cooling load has been one of the most important issues in the electricity industry. Recently, along with energy-saving optimal control, accurate forecast of electricity load has received increasing attention. Because of the general nonlinear mapping capabilities of forecasting, artificial neural networks have played a crucial role in forecasting electricity load. Support vector machines (SVMs) have been successfully employed to solve nonlinear regression and time series problems. In order to improve time efficiency of prediction, a new hourly cooling load prediction model and method based on Support Vector Machine in this paper. Moreover, simulated annealing (SA) algorithms were employed to choose the parameters of a SVM model. Subsequently, examples of cooling load data from Guangzhou were used to illustrate the proposed SVM-SA model. A comparison of the performance between SVM optimized by Particle Swarm Optimization (SVM-PSO) and SVM-SA is carried out. Experiments results demonstrate that SVM-SA can achieve better accuracy and generalization than the SVM-PSO. Consequently, the SVM-SA model provides a promising alternative for forecasting building load.

scholarly journals Incorporating equivalent temperature in building cooling load prediction

2021 ◽  
Author(s):  
Zixuan Wang ◽  
Yuguo Li ◽  
Jiyun Song ◽  
Kai Wang ◽  
Pak Wai Chan
Keyword(s):  
Cooling Load ◽  
Equivalent Temperature ◽  
Load Prediction ◽  
Building Cooling
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